Managed Data Extraction

Job Posting Data Scraping

Collect public job postings, employers, roles, locations, salaries, skills, and posting dates with managed delivery.

Managed Extraction
Public Data Only
Cleaned & Deduplicated
Multiple Formats
Manual QA Review

Managed Workflow

Built around your data request

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Public Data Only

Lawful, publicly available sources

Quality Assured

Cleaned, deduplicated, reviewed

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Ready to Use

CSV, Excel, JSON, Google Sheets

What's Included

End-to-End Managed Data Extraction

Every service page is generated from structured content and includes scoping, extraction, cleaning, QA, and delivery.

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Scoping & Planning

We review the source, approved fields, output structure, timeline, and delivery format before starting.

Managed Extraction

We build and run an extraction workflow tailored to the approved public sources and data requirements.

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Data Cleaning

We normalize columns, standardize formats, and remove malformed or incomplete values where possible.

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Deduplication & QA

Deliveries are reviewed for duplicates, missing fields, inconsistent naming, and unexpected row counts.

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Formatted Delivery

Receive your dataset in CSV, Excel, JSON, Google Sheets-ready, or another agreed format.

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Recurring Support

For recurring work, we keep the schema stable so new files can be compared, appended, or imported.

Who This Is For

Built for Business Teams That Need Data

This service is for labor market researchers, recruiters, HR tech teams, analysts, consultants, sales teams, and workforce planning teams that need structured public job posting data.

It supports one-time hiring market snapshots, recurring posting monitoring, skill demand analysis, employer research, and location-based workforce intelligence.

Data Types

What Data Can Be Collected

The exact fields depend on source structure, public availability, compliance review, and intended business use.

Job posting projects can collect public job titles, employer names, locations, job URLs, posting dates, descriptions, salary ranges when visible, employment type, skills, seniority, remote indicators, and source references.

Scraping Geek does not collect private candidate data, login-protected data, resumes, personal accounts, or restricted information. Every project is reviewed before acceptance.

Job title Employer Job URL Location Remote or hybrid indicator Posting date Employment type Salary range when visible Description Skills or requirements Category Source platform Source URL
Use Cases

How Businesses Use This Service

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Labor market analysis

Track hiring demand by role, skill, location, or employer type.

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Employer research

Collect public job postings from target companies or sectors.

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Skill mapping

Extract visible skills, tools, and requirements from job descriptions.

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Recurring monitoring

Track new postings, removed postings, and changes over time.

Deliverables

Clean Data, Your Way

Every dataset is cleaned, structured, and delivered in the format your team prefers.

Scraping Geek can deliver job posting datasets as CSV, XLSX, JSON, or scheduled reports with normalized employers, locations, posting dates, and source URLs.

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CSV
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XLSX
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JSON
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Scheduled reports
How It Works

Our Process

A streamlined workflow from request to delivery.

Review

We review public job sources, search criteria, fields, and intended use.

Scope

We define approved roles, locations, filters, output columns, and schedule.

Extract

We collect public job posting data from approved pages.

Clean

We normalize employers, locations, dates, and duplicate postings.

Deliver

We provide the final dataset in the requested format.

Quality Assurance

Quality Checks on Every Delivery

Job posting datasets are checked for duplicate job URLs, missing titles, inconsistent employer names, malformed dates, and incomplete source references.

For recurring work, Scraping Geek can include capture dates and stable identifiers for change analysis.

Compliance

Responsible Data Collection

Every job posting data project is reviewed before acceptance. Scraping Geek only collects publicly available job posting data from lawful sources.

We do not collect private candidate data, resumes, login-protected content, personal accounts, or restricted information.

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Public Data Only

Lawful, publicly available sources

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Project Review

Every project assessed before start

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No Private Data

Login-protected content excluded

Careful Scope

Requests may be limited or declined

FAQ

Frequently Asked Questions

Yes. Location filters can be included when the source exposes public search or listing pages.

Visible skills and requirements can be collected as text fields or structured tags when feasible.

Yes. Recurring job posting monitoring can be scoped for selected searches or employers.

No. Scraping Geek only collects approved public job posting data, not private candidate information.

Get Started

Request a Job Posting Data Scraping Quote

Tell us about your project. We'll respond within 24 hours.

Example: business listings, product data, prices, reviews, job postings, real estate listings, or another public dataset.
List the columns you want in the delivered dataset, such as name, URL, category, price, address, phone, rating, or source URL.
An estimate is enough, such as 500 records, 10,000 products, all listings in selected cities, or not sure yet.
Share the target delivery date or timing, if one exists.
Describe the project, source context, delivery expectations, filters, and any important requirements.
Optional. Upload a sample input, desired output format, or reference file. Do not upload private or sensitive data.
24-Hour Response
🔒 No Obligation
📄 NDA Available
Free Scoping